Security orchestration, automation and response (SOAR) provider Swimlane on Monday announced the launch of a security automation solution ecosystem for operational technology (OT) environments.
The company has teamed up with several companies for this OT security automation ecosystem, including industrial cybersecurity firm Nozomi, event monitoring and risk detection firm Dataminr, and technology and security consulting firm 1898 & Co.
A technology integration with Nozomi combines low-code security automation with OT and IoT security. The Dataminr integration results in a cyber-physical threat response solution that uses automated processes to mitigate risks and quickly warn employees of safety risks.
As for 1898 & Co., it uses Swimlane as the core automation platform for its managed threat detection services.
Swimlane is developing a portfolio of pre-integrated solutions that customers can deploy through managed services or add to their existing environment.
“Our public utilities and critical infrastructure face unique cybersecurity challenges to detect and respond to the convergence of threats targeting their combined OT and IT environments, and cyber-physical systems,” said Cody Cornell, co-founder and chief strategy officer of Swimlane.
“Swimlane is bringing together the best of OT security with our extensible security automation platform to create a robust system of record and control for security operations teams to more quickly process large amounts of security telemetry without needing more resources to defend against breaches,” Cornell added.
Swimlane has raised a total of $170 million in funding, including $70 million in a Series C round announced in July.
Eduard Kovacs (@EduardKovacs) is a contributing editor at SecurityWeek. He worked as a high school IT teacher for two years before starting a career in journalism as Softpedia’s security news reporter. Eduard holds a bachelor’s degree in industrial informatics and a master’s degree in computer techniques applied in electrical engineering.Previous Columns by Eduard Kovacs:Tags: